Abstract
This chapter introduces the development of a method for 3D reconstruction of moving targets. This method is based on the use of a dual interferometric ISAR (InISAR) system. The interferometric phases measured from two orthogonal baselines are used to jointly estimate the target’s effective rotation vector and the heights of the scattering centres with respect to the image plane. The algorithms are tested on a variety of simulated and real datasets Chapter Contents: • 2.1 Introduction • 2.2 Algorithm description • 2.2.1 Multichannel ISAR signal model • 2.2.2 System geometry • 2.2.3 Received signal modelling • 2.2.4 Multichannel CLEAN algorithm • 2.2.5 3D reconstruction processing • 2.3 Performance analysis • 2.3.1 Scatterers realignment • 2.3.2 Soft assignment • 2.3.3 Performance indicators • 2.4 Results • 2.4.1 Simulated results • 2.4.2 Experimental results • 2.5 Conclusion • References.
Original language | English |
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Title of host publication | Multidimensional Radar Imaging |
Publisher | Institution of Engineering and Technology (IET) |
Pages | 15-45 |
Number of pages | 31 |
ISBN (Electronic) | 9781785618079 |
DOIs | |
Publication status | Published - 1 Jan 2020 |
Bibliographical note
Publisher Copyright:© The Institution of Engineering and Technology 2020.
Keywords
- 3D reconstruction
- Dual interferometric isar system
- Image plane
- Image reconstruction
- InISAR system
- Interferometric phases
- Moving targets
- Orthogonal baselines
- Radar imaging
- Radar interferometry
- Scattering centres
- Synthetic aperture radar
- Target effective rotation vector estimation
- Three-dimensional inverse synthetic aperture radar
ASJC Scopus subject areas
- General Engineering